Verification-Before-Done
'Should work now' is the most expensive sentence in software — it means the change was reasoned about, not observed, and the next person to touch this code will pay for that assumption
- Generate step-by-step verification checklists for code changes
- Identify edge cases and regression risks before deployment
- Design evidence-based testing plans for complex fixes
$8.99
· or 45 creditsSecure checkout via Stripe
Included in download
- Generate step-by-step verification checklists for code changes
- Identify edge cases and regression risks before deployment
Sample input
I just fixed a race condition in the auth middleware using a mutex. Verify this is actually done and won't break prod.
Sample output
Verification Plan:
- Evidence: Run 'go test -race ./auth/...' 100x to prove zero flakes.
- Regression: Test login flow with slow network simulation.
- Cache Trap: Force logout and verify JWT invalidation is immediate.
- Edge Case: Trigger concurrent login and password reset calls.
'Should work now' is the most expensive sentence in software — it means the change was reasoned about, not observed, and the next person to touch this code will pay for that assumption
$8.99
· or 45 creditsSecure checkout via Stripe
Included in download
- Generate step-by-step verification checklists for code changes
- Identify edge cases and regression risks before deployment
- Instant install
Sample input
I just fixed a race condition in the auth middleware using a mutex. Verify this is actually done and won't break prod.
Sample output
Verification Plan:
- Evidence: Run 'go test -race ./auth/...' 100x to prove zero flakes.
- Regression: Test login flow with slow network simulation.
- Cache Trap: Force logout and verify JWT invalidation is immediate.
- Edge Case: Trigger concurrent login and password reset calls.
About This Skill
'Should work now' is the most expensive sentence in software — it means the change was reasoned about, not observed, and the next person to touch this code will pay for that assumption. This skill builds the verification protocol for your specific change: the exact commands to run, the outputs to observe, the edge cases to test manually, and the signals that confirm the fix didn't introduce a regression. It treats verification as a first-class artifact, not an afterthought. Use it before you close any ticket — give it your change, your environment, and what you've already tested; it returns the complete verification checklist that lets you say 'done' and mean it.
Use Cases
- Generate step-by-step verification checklists for code changes
- Identify edge cases and regression risks before deployment
- Design evidence-based testing plans for complex fixes
- Prevent stale-version and cache-related deployment errors
Known Limitations
- Cannot execute live code to physically verify results.
- Relies on user providing accurate environment and stack details.
- Does not replace automated CI/CD pipelines.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/verification-before-done -o /tmp/verification-before-done.zip && unzip -o /tmp/verification-before-done.zip -d ~/.claude/skills && rm /tmp/verification-before-done.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
Reviews
No reviews yet - be the first to share your experience.
Only users who have downloaded or purchased this skill can leave a review.
Early access skill
Be the first to review this skill.
Only users who have downloaded or purchased this skill can leave a review.
Security Scanned
Passed automated security review
Permissions
No special permissions declared or detected
Compatible with SKILL.md-compatible agents including Claude Code and Cursor.
Frequently Asked Questions
Learn More About AI Agent Skills
More Premium Skills
designing-hybrid-context-layers
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
ai-automation-qa-pack
Professional QA & UAT documentation generator for AI automation agencies and complex agent deployments.
Bounty Security Pattern Master Library — 399 Vulnerability Patterns
A premium library of 399 vulnerability patterns and DeFi attack vectors for AI-driven bug hunting and security audits.
Multi-Agent Orchestration Master Library
Transform Claude Code into a coordinated multi-agent system. Battle-tested tmux orchestration patterns, YAML task queues, event-driven communication, and parallel worker management for 8+ agents.